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Filtering by: Subject Artificial Intelligence Year 2024

1. A Deep Learning Model for Detection of Ocular Surface Squamous Neoplasia in Slit Lamp Photos

Description/Abstract:: Background: Ocular surface squamous neoplasia (OSSN) is a potentially vision-threatening malignancy and may be difficult to diagnose as it often appears similar to other lesions such as pterygium and pingueculae. Ocular surface images are easy to...
Date:: August 1-2, 2024

2. Improving Microbial Keratitis Artificial Intelligence Screening Tools Constrained by Limited Data Using Synthetic Generation of Slit Lamp Photos

Description/Abstract:: Background: Artificial Intelligence (AI) models, like those used in diabetic retinopathy screening, require large amounts of data to train. Models for diseases with limited public data like microbial keratitis (MK), a top five cause of blindness...
Date:: August 1-2, 2024